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Remote Gcp Data Engineer Jobs in Federal Way, WA

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of experience. * Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark). * Build and manage API ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and ... Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Outpost

Machine Learning Data Engineer

Seattle, WA · Remote

$130K - $160K/yr

Qualifications: * 3+ years in a data quality, ML data engineering or applied ML role. * Experience ... Python · Roboflow · VLM/OCR pipelines · GCP (GCS) · PostgreSQL · Snowflake · Node.js ...

KP LLC

Data Processing Programmer

Renton, WA · On-site +1

$80K - $110K/yr

KP is looking for a Hybrid/Remote Data Processing Programmer . The ideal candidate possesses strong experience with Quadient Inspire, modern data hygiene platforms, and data transformation processes ...

Truveta

Software Engineer - Data Processing

Seattle, WA · On-site +1

$110K - $145K/yr

Software Engineer - Data Processing Truveta is the world's first health provider led data platform ... GCP experience is relevant) Why Truveta? Be a part of building something special. Now is the ...

YO AI Labs

DevOps Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

YO AI Labs

DevOps Expert - Remote

Seattle, WA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

Precor, Incorporated

Sr. Data Architect

Seattle, WA · On-site +1

$150K - $170K/yr

Mentor and elevate data engineers, BI developers, and analysts, raising architectural maturity and ... Experience integrating heterogeneous cloud environments (Azure and GCP). * Familiarity with AI and ...

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All JobsGcp Data Engineer JobsRemote Gcp Data Engineer JobsRemote Gcp Data Engineer Jobs in Federal Way, WA

Remote Gcp Data Engineer information

See Federal Way, WA salary details

$49.7K

$144.9K

$198.2K

How much do remote gcp data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote gcp data engineer in Federal Way, WA is $144,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What are popular job titles related to Remote Gcp Data Engineer jobs in Federal Way, WA?

For Remote Gcp Data Engineer jobs in Federal Way, WA, the most frequently searched job titles are:

What job categories do people searching Remote Gcp Data Engineer jobs in Federal Way, WA look for?

The top searched job categories for Remote Gcp Data Engineer jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Remote Gcp Data Engineer jobs?

Cities near Federal Way, WA with the most Remote Gcp Data Engineer job openings:

Remote Gcp Data Engineer jobs near you

Data Engineer

Noblesoft Technologies

Seattle, WA • Remote

$117K - $140K/yr

Contractor

Re-posted 7 days ago

Job description

Job Role: Senior Data Engineer
Location: Remote
 
JD:
 
 
Key Responsibilities
• Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory.
• Build and maintain a metadata-driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.
• Develop agent-specific data lakes and an orchestration layer for an uber-agent that can query across agents to answer customer questions.
• Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics tools.
• Ensure data quality, lineage, and governance across all ingestion and transformation processes.
• Collaborate with product teams to understand data needs and deliver scalable solutions.
• Optimize performance and cost across storage and compute layers.
Required Qualifications
• 5+ years of experience in data engineering with a focus on Microsoft Azure and Fabric technologies.
Strong expertise in:
o Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)
o Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2
o Power BI and/or other visualization tools
o Azure Functions, Logic Apps, and orchestration frameworks
o SQL, Python and PySpark/Scala
• Experience working with structured and semi-structured data (JSON, XML, CSV, Parquet).
• Proven ability to build metadata-driven architectures and reusable components.
• Familiarity with agent-based architectures and conversational AI integration is a plus.
• Strong understanding of data modeling, data governance, and security best practices.
Preferred Qualifications
• Experience with Azure OpenAI, Copilot Studio, or similar conversational platforms.
• Knowledge of CI/CD pipelines and DevOps practices for data engineering.
• Experience in building multi-tenant data platforms or domain-specific lakes.